CONVERSATIONAL AI AND ARTIFICIAL NEURAL NETWORKS

Abstract

Augmented intelligence is revolutionizing the waybusinesses function on a day-to-day basis. ChatOps are one suchexample of how simple queries and activities, such as customerengagementorsalesoperations,can be handled without the involvement of a human. Chat Ops is the synthes is of client queries and an instantaneousinformationalexchangeinstrumentthatfacilitatesdevelopmentofsoftwareandoperationalmethodsinits transmission and execution. These are low-cost, computer-assistedprogramsthathelpincustomerserviceandanymodel of people management. ChatOps offer support at clients’convenience,irrespective of location hence an appeal to amultitude of people. Such a tool is reconstructing the way data isperceived,preventing it sover load and distilling information down to the most needed and practical elements. ChatOps inherentlymeans Conversational AI which uses NLP and other algorithmsthat compliment it and implements its functionalities. The bot istrained by having various intents as inputs, which provide the standard for the automated response. Alarge corpus of user input she lps the AI toget better at predictions and pattern matching. The more number of such inputs, the better trained machine model availabletouse.The intentslieonalargespectrum that could start off as simple chit chat to complicated instructions,while maintaininganinteractiveandcontinuousconversationflow.